pratikjalan
finaldpo-symmpo-exp09-resp2img-clip-topk3
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README
License: otherModel description
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Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 2.0
Training results
Framework versions
- Transformers 5.1.0
- Pytorch 2.7.1+cu118
- Datasets 4.0.0
- Tokenizers 0.22.2
Model provider
pratikjalan
Model tree
Base
llava-hf/llava-1.5-7b-hf
Fine-tuned
this model
Modalities
Input
Text, Image
Output
Text
Pricing
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Model APIs
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